Tag Archives: Cloud Computing


Misconceptions regarding AWS ‘Auto-Scaling’

The concept of Auto scaling, since its evolution, has been a major selling point in the field of ‘cloud computing’. But as compared to most of the popularized technological abilities, a fair cluster of some misconceptions has been collected.

There are few kinds of mistakes which slides in the passage of various constructive conversations regarding cloud infrastructure, and then they frequently mislead various IT leaders taking the belief into consideration that it is very quick for its set up, is simple and confirms ‘100% uptime’.

1. ‘Auto-scaling’ is pretty easy

It becomes pretty possible with the platforms of IaaS, generally in a manner which is quite direct as compared for scaling upward in some data-center. But if customer are visiting AWS and spinning up any instance, then you will rapidly discover regarding public cloud, which never “comes with” with the concept of auto scaling.

For designing an automatic and a self-healing ecosystem that takes the place of various failed up instances and then usually comes out with almost no or little human intervention which needs a noteworthy ‘time-investment upfront’. The process of setting up of a group of load balancing  in between various ‘Availability Zones’ (AZs) is almost some-what very direct; designing instances on its own with a systematic and precise configuration along with least standup times in a need of various customized scripts and various templates that basically process weeks or may be months for getting right, and which generally does not possess the time duration which is taken for the engineers for learning how effectively AWS’ tools can be used.

At Go4hosting, the process of auto scaling generally possess three major components:

•The process of cloud formation might be utilized for making a template of configuration of the resources and application, which is basically structured as a data stack. This specific template be successfully carried in a concerned repository, thus making it deployable and easily reproducible as instances, where and when it is required. Also, cloud formation enables customers for automating various things like network infrastructure, deploying secure and ‘multi-AZ instances’, in fact can download bundles of various acute tasks which are pretty much time-taking if they are done manual manner.

Amazon-Machine-Images”: Under the process of auto scaling, like under a very traditional environment, various machine images enables the engineers for spinning up same replicas of already existing machines. An AMI, basically is utilized for designing a ‘virtual machine’ under an EC2 and which offers as the fundamental deployment unit. The concerned degree for which the idea of AMI must be precisely customized as compared to configuring a startup is basically a complicated topic.

“Puppet scripts,” along with various management configuring tools such as Chef, which defines each and everything over the suitable servers from given single location, such that there is an individual truth regarding state of complete architecture. Cloud formation designs the foundational unit and thus installs the configuration of Puppet master, after it, Puppet which is attached towards the various resources, thus node needs to function such as extra block storage, Elastic IPs and network interfaces. A last step is basically the integration of auto scaling and the deployed process, where ‘Puppet scripts’ updates EC2 instances which are newly added on its own towards groups of auto scaling.

Managing various templates and various scripts which are added in the process of auto-scaling is basically ‘no mean feat’. It might take time for an expert systems engineer for getting easy working with ‘JSON’ in ‘CloudFormation’. This moment is precisely the time when acute engineering teams generally do not possess, and that is why various teams are not able to touch the exact point of exact auto-scaling, relying not on some concerned combination of manual configuration and ‘elastic load balancing’. Allocating various type of external or internal resources for creating ‘template-driven environments’ can minimize customers’ build out time by various specific orders of concerned magnitude. That is the reason why several IT firms have devoted a complete team of experienced engineers for managing automation scripts, generally referred a ‘DevOps team’.

2. ‘Elastic-scaling’ is comparatively more often than ‘fixed-size’ auto-scaling

The story of Auto scaling not always applies the concept of ‘load-based scaling’. In fact, this is pretty much argue able that the major helpful aspect of the idea of ‘auto- scaling’ focuses on great range of availability along with the redundancy, and instead of any ‘elastic-scaling’ techniques.

Very frequent objective for such a cluster is basically resiliency; various instances are situated into a non-flexible size of auto-scaling cluster so that by chance if any an instance is failing, then it is replaced on its own. The use case is an ‘auto-scaling’ cluster which has a minimum size of ‘1’.

In addition to this, there are plenty of ways for scaling a group than simply by assuming at ‘CPU load’. The process of auto scaling may also sum up capacity towards working queues, and thus is very helpful in projects of data analytic. A suitable group of ‘worker-servers’ in a group of auto scaling basically listens towards a queue, then implement those actions, then timely trigger an instance of spot when the concerned size of queue reaches a specific number. Similar to all other instances, this is only going to occur if and only if the price of spot instance falls under a specific dollar amount. By this manner, capacity is included when that is only “good to possess”.

3. The capacity must always match specific demand

There is a general misconception regarding “load-based auto-scaling” is such that this is pretty much suitable in all kinds of environment.

And in fact, there are various cloud computing and deployments models which are more resilient and with not any function of process of auto scaling. This becomes especially very true of acute startups that possess actually lesser than ‘50 instances’, and where such desirable ‘closely-matching’ capacity along with the demand which has various unexpected consequences.

For example there is a startup which possess a ‘traffic peak’ at ‘5:00PM’. That particular traffic peak needs 12’ ‘EC2 instances’, but can receive with only two “EC2 instances”. It is decided that for saving costs and thus taking usefulness of their particular cloud’s ‘auto-scaling’ ability, they will putting up their various instances under a group of auto scaling with a ‘maximal size of fifteen’ and a ‘minimal size of two’.

Although, one fine day they receive a massive height of concerned traffic around about ‘10:00AM’ that is great as ‘5:00PM’ traffic — which basically lasts only for fixed 3 minutes.

So, why does that particular website goes down even if they possess ‘auto-scaling’? There exist various quantity of factors. Firstly, their group of auto scaling will only sum up instances in every 5 minutes just by some default, and this may also consume ‘3-5 minutes’ for some new instance for coming in service. To obvious, their additional capacity can be quite late for meeting “10:00AM” spike.

In general, it is usually true that the concept of “auto-scaling” is very beneficial for the people that are manually scaling for ‘hundreds of servers’ and not towards tons of various servers. If users are letting their capacity go down under a specific quantity, users are possibly quite susceptible for the downtime. Does not matter how those group of auto scaling is basically setting up, that still consumes somewhat ‘5 minutes’ for any instance for brought up; in just 5 minutes, plenty of traffic can be generated, and in only 10 minutes a website can be saturated. This is the reason why ‘90% of scale down’ is a pretty much. Under the afore-mentioned example, startup must try for scaling the peak 20% of the concerned amount.

4. ‘Perfect base images’ > ‘lengthy configurations’

This is generally quite difficult for finding out the significant balance in between getting baked towards the AMI (for creating  “Golden Master”), then what is being done by launching with a management configuring tool (on peak of  “Vanilla AMI”). The way customer is configuring an instance is based on how quick the instance requires for spinning up, how commonly events occur, the aggregate life of any instance.

The usefulness of utilizing a management configuring tool and then creating off of a ‘Vanilla AMIs’ is obvious: suppose the customer is executing 100+ machines, he/she can update various packages in an individual place and thus bearing a track record of each and every configuring change. We have discussed the merits of ‘configuration management’ in an extended manner here.

Although, in an event of auto scaling, you generally do not wish to bear for waiting up for a  Puppet or various script for getting downloaded and then installing 500MB of relevant packages. Moreover, the by default process of installation must execute, the greater the chance will occur that something is going to be wrong.

With the phase of time along with testing, this is very much possible for attaining a genuine balance of such two particular approaches. It will be ideal feature for starting up from a specific stock image designed after implementing Puppet on a specific instance. This concerned test of various deployed process, basically is or maybe not, the instances operations automatically when designed from this already existing image as build up from “scratch”.

Also, setting up the process is very much complicated along with time-taking project with any experienced engineering team. There is no doubt for the next several decades, various 3rd party tools and techniques will rise for facilitating this quite process, but such tools of cloud management possess cloud adoption. Unless until tools such as ‘Amazon’s OpsWorks’ become more powerful, the influence of any various environment’s ‘auto scaling’ process will be based on the certified skills of process of various ‘cloud-automation engineers’. Go4hosting is a very genuine cloud service’ provider which efficiently provides its clients attain hundred percent availability over Amazon Web Service and private cloud.

Choose DRaaS or Cloud DR Solutions

Should You Choose DRaaS or Cloud DR Solutions?

Every business must always have a Disaster Recovery or DR plan in place in order to ensure business continuity when there are manmade or natural disasters that can affect their operations. In cloud based DR, there is no need to buy or maintain the backup servers and storage servers. You can sign up for cloud DR with reputed vendors and enjoy a pay-as-you-go model of payment. Businesses can pay for data storage for a longer term and only make payments for the servers they use during failovers and testing periods. So, costs are far lower and this type of disaster recovery is obviously more pocket-friendly for businesses. In cloud based DR, the services will offer machine snapshots of virtual or physical servers within the main data center. The client enterprises therefore simply pay for storing such snapshots or storing apps in suspended state. Besides cloud DR sites can be automated and made to go live in a matter of seconds. So, it can guarantee far better business continuity and nominal data loss. It is possible to trigger cloud based DR sites simply through normal laptops and mobiles having Internet connectivity.

So, depending on business disaster recovery needs there can be two kinds of cloud based DR solutions namely, DRaaS or Disaster Recovery as a service and Cloud DR. Some people tend to use both these interchangeably but that is not right. Businesses are now trying to make a distinction between the two to see which will benefit them the most. For a CIO of any company, it is most essential to ensure that the critical infrastructure and data are properly protected against outages and the business runs without disruptions of any kind. However, when a disaster strikes, even the sturdiest and most resilient infrastructure is liable to get disrupted and business may come to a standstill.

In today’s digital age, companies cannot afford to remain inaccessible even for a few minutes. So, it is absolutely essential to see how quickly your DR plans can help you restore operations. Every CIO will be looking for a fail-proof DR plan which has robust recovery time. It is here that cloud computing can make a huge difference. So, DR today moves from data centers in remote locations to the cloud which can guarantee higher speeds, efficiency and scalability. The cloud successfully protects businesses from the after effects of disasters and spares them of the troubles of managing DR solutions.

How is cloud DR and DRaaS different from one another?

Both DRaaS and cloud DR solutions will try to ensure immediate accessibility and recover ability of business data, and boost business continuity plans. In cloud DR, there will be routine backup and storage of workload data within a multi-tenant environment which can be recovered onto virtual servers when disasters happen. So, the main aim of cloud DR is to allow a business to maintain its backups securely and not worry about location, infrastructure and test procedures. When there is a disaster, the company can get back its data seamlessly. In case of DRaaS, this data availability gets a further boost because customizable failover is added to regular cloud backups and recovery solutions. So, the DRaaS solutions will allow businesses to spin up hot DR sites on either private or public clouds which emulate its production environment. This DR site is also easily accessible across the Internet and it lets business critical apps to stay up and running instantly. This advantage can be enjoyed without having to pay a lot of money for hardware.

Cloud DR will boost an enterprise’s ability to configure its DR parameters flexibly for backing up data. It also allows for faster data recovery and lets a company break away from the complex traditional tape based DR solutions. But before one can adopt the DR on clouds the CIO must ensure that data is going to be shifted securely and that the users will be properly authenticated. So, when a disaster happens, there must be enough connectivity and bandwidth needed to redirect all users to the clouds. DRaaS, on the other hand, will provide comprehensive enterprise-level DR solutions without costs of ownership which is there in in-house plans. So, recurring costs like IT support costs, maintenance costs and energy costs will be maintained by the cloud vendor. DRaaS is easy on the pocket because it needs less operational resources and helps businesses save money on hardware and software licenses. Businesses using DRaaS will also not need to be concerned about backup servers as their vendor will offer state-of-the-art facilities backed by enterprise-level bandwidth and power. The cloud itself works like the DR site and businesses simply pay for facilities according to a utility pricing model. So, while DRaaS may seem slightly costlier to cloud DR, it is in the long run more affordable, scalable and robust compared to in-house DR set-ups. So, for businesses which have flexible tolerance levels for data loss or downtimes during disasters, cloud DR is perfect.

For interesting Topics :

What is a Cloud Disaster Recovery?

Key Features of a Cloud Strategy

Key Features of a Cloud Strategy

Every business benefits from a distinct cloud strategy which must be designed in keeping with the needs of the business. There is therefore no single cloud solution that can benefit all businesses equally. Below are provided some of the basic principles which should be included in every cloud strategy:

Software as a Service: The main aim of cloud solutions is user engagement and therefore the SaaS solutions must be innovative and respond to trends such as collaboration, mobility etc. This means that businesses will get to use the most recent cloud technologies when they sign up for cloud computing solutions from a provider. While user experience is of utmost importance, the user interface alone is not responsible for this. It is really the consistency which makes a difference. For instance, a visually attractive app may not offer a positive user experience when you try to use it for solving other business related issues. So, it is imperative to have multiple innovation cycles in a year to help you adapt to the changing conditions around you. Course correction is vital in a cloud strategy and before you sign up, you need to find out whether the solutions offered by your vendor are consistent across all platforms, whether you use desktop or mobile interface. You must also find out how information can be transferred to enable better collaboration, how often innovations are undertaken in a year, whether customers are involved in such innovations, whether they use analytics etc.

Platform as a Service: You cannot hope to deploy good applications without having good platforms. Since many vendors fail to appreciate the value of this idea initially, they end up having to make many changes later. It is important to have an open platform which can be adapted conveniently. You should be able to develop new solutions and build add-ons whenever needed. So, it is necessary to find out from your provider whether their cloud strategy supports only a single platform or it allows for the creation of new solutions too. You must find out what kind of innovations the platform offers such as in-memory, streaming, predictive analysis etc. The biggest risk when you adopt new cloud solutions is that customer experience can suffer when solutions from different providers are not able to integrate with one another seamlessly. So, there should be integration among solutions to lessen burden on users and consistency in user experiences. This implies there must be a consistent system of diagnostics or metrics which remains uniform across different platforms. So, you need to find out the kind of prepackaged integration the vendor offers, what the remedies are in case of problems with these, the people responsible for integrations and updates.

Infrastructure as a Service: Any cloud computing solution must be founded on a solid infrastructure. At the same time, it should be able to support diverse settings from various vendors. You will therefore need a set-up which can deploy cloud computing solutions, and at the same time easily shift existing applications into models of cloud computing when innovating. So, you must inquire which tools are available to virtualize the existing infrastructure, how the vendor can help you migrate your on-site apps to private clouds etc.

Security: This is perhaps the most important concern when discussing cloud hosting solutions. So, it is important to inquire about data location, business continuity and portability, backup solutions and disaster recovery plans offered by your provider. You need to know how the cloud vendor plans to “harden” the existing security structures, where it keeps the data, what its data center strategy is, the certifications it has relating to security etc.

Public Cloud: A public cloud is guaranteed to offer you cost efficiency by allowing resource-sharing amongst many servers interconnected in a network. Here, the vendor will own and run the infrastructure across the Internet. You will however need to find out whether the vendor is able to offer high scalability because at time, the configuration options are limited for each vendor. The vendor on its part is not always able to maintain a single code base and if forced to insert client-specific complexities into code line which in turn affects performance and delivery cycles. So, you have to ask how the vendor plans to handle multi-tenancy and whether it will use a hybrid approach or a custom one. You need to know how it will manage integration in diverse settings with its cloud plans.

Private Cloud: This is a great way to transfer the existing assets to a cloud solution. Here, the infrastructure will be run for one organization alone, whether it is internally managed or externally managed by third parties. You need to see how private clouds can benefit your business. The hybrid cloud is a combination of more than a single cloud model where both private and public cloud solutions are blended. This offers advantages of multiple cloud models but you need to ensure that your vendor knows exactly how to get the right mix. So, you have to ask your vendor what it can offer for transferring your existing solutions and how it will innovate these, how it will handle hybrid cloud settings and make the different cloud models integrate with one another etc.

For Interesting Topics :

Key Trends for the Future in Public Cloud Computing

What are Cloud Hosting Solutions?

Future in Public Cloud Computing

Key Trends for the Future in Public Cloud Computing

The adoption of public clouds by businesses is increasing by the day and entrepreneurs are keener than ever to shift their data to the cloud to optimize workloads. No surprises then why public cloud services like Microsoft or Amazon are awash with takers. It is very common for most businesses to use multiple clouds for empowering their businesses further. They have slowly started to understand the need to abandon a traditional data center. Experts on public clouds from the reputed and popular cloud services provider Rackspace recently observed three key trends which will define public clouds in the future:

1. It is true that public clouds have distinctive features but performance differences which earlier existed among them seem to be gradually diminishing. While earlier Google was primarily noted for networking and storage, Microsoft was the go-to company for business solutions and Amazon Web Services specialized in AI and machine learning. So, companies which are working on developmental projects which need instant server provisioning will find the AWS solutions to be best suited for their needs. This implies that planning process today has become the most critical function of any cloud journey. There are very few enterprises which have the power to go through all the functions and features of every public cloud solution to identify what suits specific business applications the best. You will therefore find the growth of companies which will help you achieve this seamlessly.

2. It is also believed that containers will slowly make their way into the cloud hosting world and it will ensure higher flexibility amongst multiple clouds. These will integrate the applications in ways to make them more reliable and faster. To optimize workloads, a multi-cloud strategy works best while containers will give you a simpler way to move the applications around, to decide where these will fit the best. Kubernetes is currently available as container orchestration engine which lets portable workloads that run across many clouds to take advantage of one another’s functions. Businesses can check for themselves whether a certain Kubernetes container works best on Google or Azure or AWS. Moreover, businesses can also shift a container which runs in the AWS to another cloud. In short, containers will guarantee higher efficiency allowing developers to transfer applications across all platforms. You have to look for cloud providers which will help their clients with such containers and the Kubernetes and also offer specialized services apart from the key functional advantages.

3. It is believed that the public cloud is going to support machine learning in the future. Machine learning has been playing a key role in all kinds of innovations ever since the beginning of this year. However, only handful of businesses is being able to implement this learning successfully in their production environments. So, the public cloud is expected to help the others to learn how to adapt machine learning to their businesses. Machine learning will need many computing resources and the cloud will enable instant provisioning of such resources. You can get scalability from the public cloud for testing and running machine learning models. You can also benefit from pre-built learning models which the public clouds offer to carry out basic machine learning tasks, such as video analysis and image recognition. Although you will find API technologies for these, cloud vendors are competing against one another to enhance their machine learning prowess. The Sage Maker feature from AWS is a proof of this drive amongst public clouds while Deep Lens is hardware with built-in machine learning to access pre-modeled data. Soon enough, machine learning will be offered as a service by cloud providers. So, when a person can use Alexa from Amazon to order goods for the house or play music, he will want to enjoy this experience even at work.

Besides these key trend in pubic clouds, it is also believed that edge computing will find more use in 2018 because there will be a boost in the growth of more smart wearable technologies like hear monitors and health trackers. As there is the emergence of more and more cutting edge technologies, security will be of prime concern for businesses for their protection and sustenance. Ransomware attacks have become commonplace now and focus on security will only become more pronounced than even before for businesses.

For Interesting Topic :

What are cloud computing services?

Key Elements of a Multi Cloud Strategy

Key Elements of a Multi Cloud Strategy

When you migrate to a cloud, you are satisfied with the shift because of the many advantages which cloud computing has to offer you. At the same time, however, this shift exposes your business to some risks particularly when you adopt a single cloud strategy or rely on a single vendor. This is exactly why businesses are keen to adopt a multi cloud strategy. How you craft a multi cloud strategy will determine how well it can cater to your needs. So, it is best not take a decision in haste; you should ideally build this strategy after much thought and planning so that the cloud infrastructure can give your business an edge it needs.

What is a multi cloud strategy useful for?

A multi cloud strategy is one where a business decides to use more than one cloud computing service. It may refer to the deployment of multiple software offerings like SaaS and PaaS, but it usually refers to the mix of IaaS environments. Many businesses had opted for this as they were not confident about the cloud reliability. So, the multi cloud was considered to be a protection against downtimes and data loss.

Some businesses are also seen to adopt a multi cloud strategy because of data sovereignty reasons. There may be certain laws which demand that enterprise data be stored in certain locations. So, a multi cloud strategy will allow businesses to do this, enabling them to choose from multiple datacenters belonging to IaaS providers. This also lets the businesses locate computing resources closer to their end users in order to ensure lower latency and better performance.

When you choose to adopt a multi cloud strategy, you can even choose different cloud services from a wide variety of providers. This has its benefits too because certain cloud environments may be better suited for a specific task.


Key components of a multi cloud strategy:

A key component of any multi cloud strategy is identification of the right platform which is suited to the purpose. This is because every cloud platform is likely to have its own advantages and weaknesses. So, you need decision making criteria which will help you select the best vendor.

Because the multi cloud strategy happens to be an ongoing process, businesses have to cope with the changes around them. They must ensure that costs are predictable. When there are too many disparities among the providers or even with one provider, it can prove to be a challenge for the company.

Before you choose a multi cloud strategy, an important point to consider is staffing and training needs. Every platform will need its own team which will ensure deployment and delivery services on that platform. Establishing one center of excellence may be beneficial as this will serve as the center for expertise for all cloud deployments.

When you have migrated applications to different cloud platforms, you will need to monitor these either in a centralized or decentralized fashion, or by using a mix of both.

When devising a multi cloud strategy, it is absolutely imperative that the IT staff has a clear understanding of the needs for their complete portfolio of applications. So, you will need a playbook which will help to keep the teams aligned and ensure that management goes on smoothly. Businesses will therefore have to create frameworks which will guide teams with purchasing, architecture and implementation guidelines.

The multi cloud strategy can prevent a single point of failure. This is made possible as cloud computing solutions are obtained from multiple dissimilar providers. So, the multi cloud basically works like an insurance policy for data losses and disasters.

Just because you have a multi cloud strategy does not mean that your data is completely secure simply because the multiple clouds act like backups. You can be well protected from outages but this does not imply that everything has been backed up securely. You will still need to carry out routine backups and monitor backup policies.

With a multi cloud strategy, you get more choices as far as matching specific workloads and applications are concerned.

But not each department or team or application or workload is likely to have the same needs in terms of security and performance. So, it is necessary to choose providers which are capable of catering to various data and application needs given the fact that cloud computing has evolved.

Perhaps the biggest benefit of a multi cloud strategy is that it can eliminate lock-in concerns. You have the freedom to move between various cloud vendors depending on your economic and security needs. But these are still very early days for multi cloud strategy and setbacks are to be expected. This may be the case where applications had not been designed keeping a multi cloud strategy in perspective.

Finally transparency is the key to a successful multi cloud strategy. You are often doubling the infrastructure and therefore, it is imperative to have visibility over the servers. You will need a good and capable team to execute this strategy when you start off and also through the whole journey; so you can expect a brain drain. But when the staff does turn over, you must be prepared with the right skills to take over the strategy.

For Interesting Topic :

Essential Attributes of a Multi-cloud Strategy

Cloud Computing

Cloud Computing Trends for the 21st Century

The digital age is here and while some companies have embraced it, others are still in the process of becoming digital-ready. Most businesses have understood the need to adopt cloud computing technologies or a “cloud-first” approach. This is because of the many advantages which cloud computing offers to businesses. The most important benefits are scalable infrastructure, high-level competency, cost savings, agility and business continuity and the ability to manage huge volumes of data. So, a business strategy today cannot afford to overlook the importance of cloud computing. But enterprises which are shifting to the cloud will also need to have a proper strategy in place. And to have this strategy, entrepreneurs need to get an idea of the key cloud computing trends of the 21st century and how these can affect their businesses.

Trends in cloud computing for 21st Century:

Research by Gartner suggests that the main trends which will affect businesses in the near future are multi clouds which are likely to become the defacto standard rather than a single cloud adoption and development of cloud strategies. So, organizations will be adopting the cloud so as to implement frameworks that can help them create centers of excellence. This will allow them to deliver services more efficiently, make optimum use of the infrastructure and get an edge over competitors.

According to reports by Gartner, by the end of this year, nearly 50% of applications which are deployed in public clouds will be regarded as mission critical by businesses that own these. So, businesses will be moving their workloads to public clouds much faster to support mission-critical tasks. Likewise, the reports suggest that by the end of this decade, the cloud strategies will affect more than 50% of IT deals. With more adoption of clouds, there will more outsourcing or IT services since not all businesses have skilled technical staff to handle different aspects of cloud computing. Outsourcing will guarantee faster deployments, cost-effective migrations and expert support.

Another important trend will be the emergence of multi cloud strategies rather than adoption of a single cloud. The cloud computing market is highly competitive because there are innovative offerings from various providers. So, businesses will typically choose a provider which is suited best for a specific application and choose another provider for another application. With time therefore, businesses have understood that migration to a single vendor will be risky. There may service unavailability issues and vendor lock-in concerns. So, businesses prefer an ecosystem in which there are many vendors so as to get benefits of multi cloud solutions.

Another important trend that Gartner points out is that most businesses will start to reside in a hybrid environment. So, it is expected that there is going to be a key shift from a traditional data center to a hybrid environment. With growing demands for flexibility and agility, businesses will look out for customized options. In short, companies which will adopt a hybrid cloud will be able to increase their efficiency and save money. The hybrid model will be accepted as the defacto structure and this will help businesses go beyond traditional data centers and take advantage of cloud solutions across various platforms.

What will be planning considerations for the companies in the future?

• Businesses will first have to adopt a cloud strategy to increase long term profitability. They will need to create a road map so as to optimize workloads. Accordingly they must prepare their staff and equip them with tools and processes through proper building and planning strategies. While the public cloud is the more popular choice for new workloads, you need to consider SaaS for the non-mission critical tasks, IaaS for on-site workloads and PaaS for apps to be built either in-house or for open source services.

• Businesses must appoint a cloud architect. This individual will be directing the team and look into changes in the organization structure in different areas.

• It is important to deploy governance procedures in each cloud platform because if there are lapses in defining and implementing policies, it could lead to loss of data and breaches.

• It is important for businesses to plan a multi vendor strategy. They must evaluate and integrate with multiple providers.

• Businesses must invest in a hybrid structure. This hybrid model will help businesses to adopt cloud services properly. There should be a proper strategy for integrating security, networking and services from different cloud service providers. Using cloud managed services businesses can improve their IT management power.

• Finally, businesses will have to re-evaluate their data protection plans by creating a data protection infrastructure. This will be designed not simply to eliminate risks but also to guarantee seamless data availability as requested by end users.

For Interesting Topics :

What are cloud computing services?

What is private cloud computing?

Why a Collaborative Approach is Needed When It Comes To Cloud Computing

It is an established fact that the big daddies of cloud service supplies like Amazon, Google and Azure have completely taken over the market and have raced several miles ahead of their nearest competitors. Together, these three names control nearly 47 per cent of the public cloud share market. The bit players are hence forced to collaborate and diversify in order to survive as competing with the big names can prove to be an utterly futile exercise. They try to survive by offering specialized cloud services targeted at a specific market vertical and other such approaches.

Cloud Computing – The New Concept
Meanwhile, the major players continue to redefine the very concept of cloud computing by providing computing services that are cost-effective and allow clients to make a neat profit. However, in doing so, they are largely ignoring the need for niche-specific services. This is one gap that the smaller players have quickly identified and are keen to fulfill. It is evident from recent developments in the industry that the bit players are becoming more functional and agile. They are also developing an approach of integration with leading public cloud services. The introduction of tools like Azure Express Route and AWS Direct Connect has helped smaller Cloud Service Providers (CSPs) as they can easily scale into the public cloud when needed.

The multi-cloud concept has taken a new meaning for smaller providers. These are:

Hybrid cloud:
Clients can enjoy the ability to scale up from a private cloud environment into public cloud providers.

Network connectivity:
It helps in achieving connectivity into health and social care network (HSCN) and other proprietary network. This is a domain which the big players are incapable of handling directly.

Backup and disaster recovery:
Operators can deliver powerful solutions by making use of various data center operators and CSPs that are geographically diverse.

According to industry watchers, the name of the game for smaller players is collaboration and not competition.

With more and more smaller CSPs aiming at garnering knowledge that’s domain specific knowledge, the bigger players now have to explore the option of having to partner with smaller providers so that the gaps in their expertise related to certain domains and services are suitably closed.

The Risk Factors
A classic example of such collaboration can be seen in the health care sector. CSPs with good knowledge of the domain have gained here because they are focused on the end users. The domain experts work with the clinicians and not the technical staff members as the former are associated directly with adopting innovative cloud-based technologies as part of their service to patients.

CSPs must create a service that can satisfy the end user needs instead of trying to sell equipment as a service. They simply cannot do this without the help of domain experts. When they are capable of offering a comprehensive service that can meet all the needs of their clients such as performance, availability, and security as well as privacy, they will find their services being sought by other CSPs.

At the same time, there lies this slight element of reputation risk that small players might have to deal with while associating with major CSPs. It’s a case of putting all your eggs in one big basket. Experts are of the opinion that building a business that’s largely dependent on one large customer is high risk. It is important to build a wider and diversified customer portfolio. The risk is higher when smaller companies tie up with international major players. That’s why public cloud providers now prefer working with local CSPs.

How Security and Privacy is Impacted
A new regulation in the form of GDPR or General Data Protection Regulation is expected to affect data controllers and processors in the European Union and also outside the EU. The smaller players complying with local rules will be able to play a key part as partners of bigger companies to demonstrate that they are following the GDPR rules effectively. Also, service providers demanding vertical domains shall be more than happy willing to partner with local companies that ease their compliance demands and provide them with the security and privacy controlling mechanisms needed as stated by the law.

To put the record straight, the bigger picture is that cloud service business is not as simple as some big CSPs would like us to believe. Local expertise and domain knowledge are often mentioned as the reasons for initiating a collaborative approach to service delivery. Companies, especially those having business collaborations internationally, must also factor in the impact that GDPR can have on the status and future of their business relationships.

Large CSPs will discover that it is tough to forge ahead by ignoring the smaller, local CSPs. The definition of cloud computing must take into account the collaboration aspects between the supplier and customer. The definition of cloud computing must expand to include this aspect.

For Interesting Topics :

How Secure is Cloud Hosting?

What Can I Do With A Cloud Server?


Attributes of Cloud Computing that Differentiate Cloud Hosting from Legacy Hosting

It is very common nowadays, to learn that more and more enterprises are embracing cloud technology by adopting cloud hosting or by leveraging cloud based applications. Some individuals are however skeptical about cloud adoption and may wonder as to what is meant by moving to cloud.

Understanding cloud adoption

Cloud adoption is a broad concept that may encompass migration of enterprise IT resources and workloads including digital assets, applications, software, and email just to name a few. Cloud adoption is increasingly being sought after due to unrestricted accessibility and seamless availability of resources to end users.

Cloud is an omnipresent entity and most of the end users of cloud technology are unaware of the fact that they are leveraging cloud computing technology while accessing online apps, listening to music or watching movies on Netflix. Cloud technology not only enriches our daily lives but can also transform businesses and online enterprises.

Business scenarios that prompt cloud adoption

There are multiple reasons why enterprises choose to move their IT infrastructure to cloud by abandoning traditional systems. One of the commonest reasons is to meet exponential growth in customer base that may have caused traffic spikes or slow page loading issues.

Hosting requirements of any growing business can multiply over the period of time, thereby necessitating a more resourceful hosting environment. The need for highly scalable and accessible hosting environment can even surpass the most premium types of hosting such as Virtual Private Server or dedicated server hosting.

Boosting the server’s uptime

It is no secret that a server that can deliver outstanding performance, only if it is backed by guaranteed uptime. In a cloud hosting environment, an array of inter connected servers offers assured redundancy to deal with ant situation that may lead to failure of one of the servers.

In contrast, a conventional hosting arrangement provides only a single server and cannot guarantee seamless uptime in case of a server crash. The websites cannot provide dependable performance due to chances of hardware failure in a traditional hosting setup.

Assured economy

Cloud adoption is mainly sought after due to its excellent cost efficiency as it obviates the need to procure costly hardware equipment and purchase of cost intensive licensed software programs. Moreover, the utility style billing system guarantees payment of cloud services and resources as and when these are consumed.

If you shift your onsite IT infrastructure to a cloud hosting environment, then there will be no need to employ software professionals to look after operation and maintenance of the on-site systems. This is because all these tasks will be performed by providers of cloud hosting services in a remote data center facility.

Freedom from confinement

All types of conventional hosting arrangements are managed at fixed locations. This underlines the need to choose a right hosting location by considering your site’s visitor base. However, in a cloud hosting setup, users can operate independent of the location of cloud hosting provider.

Cloud servers are positioned across a wide geographical area to eliminate dependence on host’s location. This will help support future expansion plans to cover extensive customer bases. Cloud hosting can also improve site’s speed of loading due to assured availability of cloud servers in a wider area. Users can access cloud servers from any location and by using any device with internet connectivity.

Resource scaling

In a highly competitive environment, businesses must be empowered with on-demand scalability of resources to cater to needs unexpected traffic additional spikes. Unlike a traditional hosting arrangement, a cloud hosting is designed to provide incremental resources to address traffic surges. Alternatively, resources can also be scaled down after the traffic returns to normal.

Sharing and collaboration

Since the cloud servers are designed to be accessed from any given location and at any time, it is possible for diverse teams of an enterprise to collaborate with each other on a particular project. Employees from different locations can also share vital documents or spread sheets to update each other. Cloud computing has enabled employees work from the comforts of their homes or even while on the move.

Secured and safe

Since cloud hosting is not confined to a specific location, users need not be concerned with natural disasters blocking their server infrastructures to cause unexpected outage. In contrast to shared or dedicated servers that need adoption of individual security measures, cloud hosting features multiple security arrangements at physical as well as network levels.

Clients can be assured about data level security, application level security, and network level security with help of sophisticated technologies such as data encryption, backup recovery management, user identification, firewall applications and much more.

Committed to environment protection

Since there is far less dependence on in-house servers, a cloud hosting setup can significantly minimize the carbon emissions. Moreover, by adopting cloud application, one can also save energy and contribute to a greener environment.

Can Analytics and Data Storage Promote Cloud Usage in 2017

Can Analytics and Data Storage Promote Cloud Usage in 2017?

There are many published reports available that point out that both analytics and data storage facilities are going to promote use of cloud. In fact, this trend can lead to enhanced adoption of cloud in the current year (i.e. 2017).

In fact, the data center market is witnessing some serious changes, change in momentum, and many others. In fact, the business development is being driven by varied adoptions of data center facilities including cloud hosting. If you are looking forward to twin business requirements of business continuity as well as improvement of organisational productivity, adoption of new as well as innovative technology. Perhaps this is one of the reasons why there is a remarkable pace in adoption of cloud. Studies have found out that there would be an unprecedented fast rate of adoption of cloud in 2017 and the main push would come from the data analytics and cloud storage facilities.

What do the Reports Say?

• Reports say that in the ongoing year (i.e. 2017), total cloud budget of US-based organisations will be around $1.77 Million. There will also be significant growth in the same for non-US-based organisation but will lag behind the US based companies. For the non-US based companies’ cloud spending in 2017 is estimated to be $1.30 Million.

• Medium to large enterprise businesses, especially those who have employee-strength of more than one thousand are pledging to spend $10 Million or even more in 2017 itself.

• For meeting business needs, multiple cloud models are being utilized such as Public cloud, private cloud, and hybrid cloud. Most popular share is held by private cloud (62 per cent), closely followed by public cloud (62 per cent) and hybrid ones (26 per cent).

• By the end of next year (i.e. 2018), the on-premise system will be replaced by the application and platforms.

All these findings and forecasts are on the basis of IDG’s Enterprise Cloud Computing Survey, 2016. The survey has been conducted on 925 respondents.

What are the Takeaways?

There are multiple takeaways from this survey and the most important ones, especially related to clouds, are given below –

• When it comes to enterprise applications, cloud has become the new normal. It has been found out that 70 per cent of the organisations that have at least one application uses cloud hosting solution for computing and storage purposes. If the enterprises having over 1000 employees are taken into consideration, the study found out that 75 per cent of the enterprises run at least one application in the cloud.

• Around 90 per cent of the organisations currently are either planning to have cloud based applications in the coming one year to three years or already have cloud based apps that are running successfully. If the trend is taken into account it seems the adoption rate of cloud is going to pick up further in 2017.

• It has been projected in 2017 and in the coming years, two categories will lead cloud adoption and they are –

1-  Business or data analytics

2- Data storage or data management

Both of them account for 43 per cent of the total cloud business.

The survey also indicated that 22 per cent of the sample organisations have the plan of migrating to cloud application in the coming 1 year time. 21 per cent of the sample organisations are placing data storage/data management apps to be in the priority list within cloud migration plans of 2017.

• Around 28 per cent of the surveyed organisations have been found to have dedicated their IT budget to cloud computing in 2017. If cloud computing is again segregated on the basis of services, the following results have been found –

45 per cent of the total IT budget is allocated to SaaS (Software as a Service)
30 per cent of the total IT budget is allocated to IaaS (Infrastructure as a Service)
19 per cent of the total IT budget is allocated to PaaS (Platform as a Service)

It has been estimated that in the year 2017, the average investment the organisations are willing to make in cloud computing is $1.62 Million. When it comes to enterprises having over 1000 employees, the projected average spending will be $3.03 Million.

• APIs (Application Programmer Interfaces) are being used for integrating with storage components, portals, messaging systems, and databases by just 46 per cent of the surveyed organisations.

• The survey found out that IT infrastructure of most of the sample organisations will be based entirely on cloud in 18 months time. 1/3rd or 28 per cent of the surveyed organisations will have private hosting solution and 1/5th or 22 per cent have public cloud hosting solution. 10 per cent of the sample will be choosing hybrid hosting solution.

How Can the Internet of Things Drive Cloud Growth

How Can the Internet of Things Drive Cloud Growth

The Internet of Things, or popularly called the IoT, has changed the world in many ways. This trend has been responsible for introducing innovations across different industries. It has evolved from the simplest fitness trackers or consumer accessories to complex automated systems for homes and cars. These objects make up a network which must actively connect to web servers in order to function. This technology is on the rise and according to reports; it is likely to cross about 25 billion units at the turn of this decade. So, one can imagine the huge volumes of access requests that must be handled by hosting companies and their servers. So, the IoT is also slated to dramatically change the hosting world, ushering in new opportunities and challenges.

All businesses, government offices and buyers slowly understand the advantages of the IoT. It is believed that the IoT and Big Data analytics will be the main causes for cloud growth in the subsequent years. Global Cloud Index has rightly forecasted that the total traffic using cloud technologies is set to become 14.1 zettabytes by 2020. Incidentally, by this time, cloud technologies will make up almost 92% of data center traffic. The rise is believed to be due to an increased adoption of cloud architecture.

Businesses are turning to the cloud because it can support multiple workloads, far more than any traditional data center. So, this is a major factor in shifting to the cloud for businesses which want to enhance their big data analytical power. Reports indicate that both IoT and big data analytics will witness the highest rate of growth in the business sector as these technologies will handle nearly 22% of total workloads. The IoT market is expected to be twice the size of the combined total markets for tablets, computers and smartphones.

Almost 8% of revenue from IoT will be obtained from sale of hardware. The IoT sector is expected to be led by the enterprise sector since device shipments contribute to more than 46%. By 2019, the government sector is expected to become the leading sector for IoT devices. With the IoT, costs will be lowered and efficiency increased.

However, a common rules set for ensuring compatibility is yet to be formed for the IoT. There are hardly any regulations for running an Internet of things (IoT) device. So, it is necessary to have rules in order to solve important security issues. Both cloud computing and IoT are meant to improve efficiency for everyday tasks. So, they have a complimentary relationship. While the IoT will generate a huge amount of data, cloud computing will provide the pathway for this data to travel.

According to announcements made at the CES or Consumer Electronics Show earlier this year, whether it cars or other new devices, many will have cloud technology as their backend. Over the following years, cloud technologies are set to become integral for most devices. The sheer numbers of devices that are now connected to the Wi-Fi in any workplace is an indication of this growth. Without the cloud, such changes cannot take place. So, the IoT needs cloud computing to work and the cloud, on its part, will evolve steadily to offer better support to the IoT.

How can the IoT drive cloud growth?

• The market size of IoT is huge and according to research by the IDC, the global market is expected to grow dramatically. Here, the developed nations will contribute the most revenues. But, in the years to come, it is believed that while developed nations will lead this growth, a lot of revenue will be generated by the developing nations which are now adopting the cloud in a big way.

• Today the number of start-ups for home-based IoT is not significantly huge if you compare the numbers to Google or other large companies which own a bigger part of the market. But, the numbers of start-ups adopting the IoT will grow. This will result in the launch of newer devices and services and consequently trigger more innovations and growth.

• Today, targeted marketing is on the rise and promoters are placing their advertisements for targeted buyer groups classified according to behavioral patterns, demography and psychographics. While Google does not currently have any intention of investing in ads for home-automated objects, it is likely to happen soon. The IoT is expected to throw open a whole new world of advertising.

To sum up therefore, cloud computing and IoT are inextricably linked to one another. If there is growth in the first sector, it is likely to trigger growth in the second. Because of this interdependency, the results are expected to be favorable. The IoT is steadily growing and so is the cloud. The steady adoption of cloud-based devices will help in the growth of the cloud as a whole.

Cloud Solution

Designing a Vertical Focused Cloud Solution for Legal Sector

Legal industry is governed by a myriad of mandatory procedures and filing requirements. It is extremely difficult to design an industry specific cloud solution for legal sector because of its never ending list of essential prerequisites and a non-negotiable architecture.

Understanding the challenge
In order to create the right cloud solution that would cater to needs of legal profession one needs to dispel the myth that a legal industry needs a highly comprehensive and robust approach while designing a cloud solution. In fact, the challenges faced by cloud vertical are not very different from other verticals.

Just like other industries, the current software solutions are highly dependent on desktops. Therefore, finding an easy way to integrate and collaborate such desktop hosted applications with networks of legal experts or co-counsels is by itself an overwhelming task. Further, the unpredictable internet services used by a number of courtrooms would complicate the process of networking for real-time interaction and content sharing.

Solution in sight
The time was ripe for legal sector to embrace cloud computing technology in order to exploit its flawless synching ability to share documents in real-time in addition to the ability of establishing an off-line access. It was however discovered  that a solution to this issue was already existing and being implemented by one of the software giants.

These unique challenges faced by legal industry while trying to adopt cloud computing have been addressed fairly well by one of the solutions developed by Microsoft that caters to needs of its own legal department. This is how Matter Center was released by Microsoft as it appreciated the value of its internal solution from the standpoint of the entire vertical of legal industry.

This unique cloud resource has been able to deliver vertical-wide cloud solution to legal sector. It was released by Microsoft into open market by doing away with the proprietary code to provide a foundation for creating tailor-made and niche-specific solutions for the entire legal industry.

Cloud Titan has been able to customize the code to create a practical as well as multi-tenant platform by leveraging Matter Center open source application. The basic idea behind developing the customized solution was to roll out a road-map to help the legal industry as a whole.

Engineering an industry specific platform
It is understood that no one-size-fits-all solution would suffice the specific requirements of some verticals such as the legal sector. This formed the basis for initiating the process for identifying the right approach while designing cloud adoption for legal industry.

In the beginning, the principal obstructions and pain-points were pin-pointed and these were worked upon for listing features of the possible solution. These features would provide the missing links to develop the most sought after vertical specific cloud adoption application for legal sector.

Designing the essential deployments- It is observed that performance of legal industry is driven by an array of essential requirements. The list of must-have deployments would serve as a robust foundation for developing unique cloud solutions.

Identifying the consumers- Lawyers would be the most common users of any legal industry specific cloud application since they can easily team up with their clients, witnesses, or co-counsels. The Matter Center platform was accordingly coded to include a multi-tenant feature to facilitate collaboration features for enabling consumers of legal sector specific cloud application.

Enabling access to technologies – The right platform for attorneys needs to offer ease of accessing Microsoft word, Microsoft Office 365, and other features such as Excel. These features would provide an ideal work environment within the cloud for helping attorneys and lawyers to operate even in an off-line mode.

Enabling support and service- Legal industry is one of the sectors that are governed by deadlines. Therefore this industry cannot accept delays or support of remote groups to help solve complex issues. This is precisely the reason why the Master Center platform leverages a local distribution model with single channel. Clients and legal firms can therefore look forward to instant and reliable technical support rather than depending on remotely located support teams.
Ensuring a global access- Lawyers as well as attorneys can operate without any hassles by teaming up with counsels or witnesses across remote global locations, thanks to the highly dispersed nature of Matter Center that is capable of covering European, Australian, Canadian, and US locations.

Defining data control features- It is quite obvious that lawyers and attorneys are required to be empowered with data control and access to content in a cloud application that exclusively caters to legal industry. The Matter Center fulfills these requirements since it allows lawyers to exercise seamless control on the data in addition to easy accessibility to legal content.

With an array of additional features and reworked coding, the Matter Center is a right poised to fulfill broader objectives of an ideal legal application with cloud capability.


Go4hosting is a leading Data Center Services Provider in India offering solutions on Cloud Server Hosting, VPS Server Hosting, Dedicated Servers Hosting and Email Server Hosting. Call our technical experts at 1800 212 2022 or mail us at [email protected]


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Benefit from Cloud Adoption in the GST Era

MSME Sector to Benefit from Cloud Adoption in the GST Era

In terms of implications and the scale, Goods and Services Tax (GST) deserves to be called as the single largest tax reform in the history of India. This tax reform will kick-start the new system of destination oriented consumption tax and will comprise of interstate as well intrastate commerce and trade transactions.

Lucrative subsidiary planned for MSMEs

GST is set to offer a broad array of advantages to enterprises in small and medium sector. One of the incentives will be in the form of subsidy for those enterprises that embrace cloud computing. Small and micro enterprises can look forward to a handsome subsidy up to Rs 1 Lac provided these are adopting cloud computing for streamlining communications and management of correspondence through innovative applications.

Cloud computing also helps design bespoke IT infrastructure backed by custom software for the organization. Medium and small organizations can ensure to remain upgraded in various aspects of business operations.
Government plans to offer this subsidy on client charges for the period of two years according to modified guidelines that relate to the Advancement of Information and Communication Technology in MSME Sector.  The companies need to issue the entire payment to specialist enterprise and the disbursement of subsidy will be effected via direct advantage exchange mode.

Assets will be initially dispensed by office of the development commissioner specially appointed for MSME sector to Telecommunications Consultants India Ltd and thereafter the amount of subsidy will be transferred to beneficiary accounts of MSMEs.

Leveraging cloud computing for seamless GST compliance

Cloud computing and other IT technologies are part of Information and Communications Technology or ICT. Majority of the organizations are found to be skeptical about cloud adoption due to a myriad of concerns. It is expected that these companies will be encouraged to adopt cloud computing solutions by exploiting the subsidy scheme.

Administrations of cloud computing are proposed to be divided in two categories. In the first category the maximum subsidiary of Rs 1 Lac for every unit that is eligible. This will available for not less than two years in the Micro and Small Enterprises category.

If the unit has incurred lower costs for procuring cloud applications, then these will fall under second category. This subsidy will be borne by utilization administrations with support from central government as well as small and micro undertakings.

According to reliable estimates, the total expenditure for these subsidiaries will be approximately Rs 69 Cr and the contribution pledged by the center will be to the tune of Rs 41.40 Cr.  

In conclusion

The move will certainly help boost adoption of Information and Communication Technology at micro and medium level. Moreover, implementation of cloud assisted application will be essential for complying with upcoming GST system that heavily depends on use of internet medium.

It must also be understood that cloud computing has emerged as a highly reliable and robust solution for management of storage and a myriad of business processes. No wonder, cloud solutions have been viewed as extremely practical alternatives to on-site IT infrastructures.

Micro, small and medium enterprises need to exploit these financial sops while embracing cloud computing in the GST regime.

Understanding Key Differentiators between Cloud and CDN Services

Understanding Key Differentiators between Cloud and CDN Services

Enhanced operational efficiency is the holy grail of modern organizations and it can only be achieved with help of seamless connectivity and greater speed. The most significant challenge to drive efficiency is bridging the gap between service provider and users.

In case of online enterprises such as ecommerce companies, their websites provide the sole medium to gain greater reliability and confidence of customers. Business websites must exhibit optimum availability and speed of page loading by leveraging a dependable and high performance hosting platform.

The recent advent of cloud is also a revolutionary development that is aimed at better performing website for an enhanced browsing experience. Thanks to sharing of important resources in public cloud environment, cloud computing enables superior efficiency at affordable costs. Cloud’s pay as you go billing method further boosts cost efficiency of cloud hosting solutions.

Content Delivery Networks are being leveraged by a large number of websites to provide gain attributes of latency mitigation and instant accessibility to website content in multiple formats. CDN can effortlessly distribute static pages, live streaming, scripts, and graphic images to remotely located end users.

Content Delivery Networks operate through an assortment of remotely distributed data centers that are designed to deliver content to users in the closest proximity of the nodes. CDN aims at transporting and positioning the content in the nearest data centers to facilitate instant delivery of requested files.

Purpose of a CDN and cloud solution is to enhance efficiency by improving speed. This calls for an in-depth comparison of two resources to find out which one is better and why. In order to improve our understanding, it would be great if it is possible to know how the two significant tools are able to resolve issues that are regularly being faced by websites.

Mitigation of latency
Page loading speed has been a hot topic of discussions that are centered on enhancement of customer’s browsing experience and improving potential of your business websites to covert visitors to customers. A mere few seconds’ delay in page loading can cost you thousands of potential customers.

Cloud computing leverages an extensive network of underlying servers and thus offers better user experience for the visitors. Any enterprise can choose appropriate location of data centers to make sure that the target audience is offered benefits of low latency.

On the other hand, the very purpose of a Content Delivery Network is to accelerate dissemination of content for an enhanced browsing experience. Content Delivery Network maintains availability of cached content in edge servers positioned at geographically scattered data centers for mitigation of latency.

Therefore we can conclude that CDN hosting offers superior user experience by acceleration of page load speed and improving conversions.

Website performance
Speed of page loading and uninterrupted availability can be considered as the two important parameters of a high performance website or web application. Content Delivery Networks as well as cloud server hosting have proven efficacy to elevate site’s performance by improving availability and speed.

If you take a critical view of Content Delivery Network solution, then you will find that the basic purpose of CDN is to increase availability of content by providing additional stock points in different geographical regions. Improvement of website’s performance can be attributed to the servers that are enabling transmission of cached content through CDN POPs and not to Content Delivery Networks as such. In contrast, cloud hosting services enable an efficient platform for delivery of broad spectrum of resources. These resources can be in the form of infrastructure, software, or platform and can be procured as per need.

Cloud hosting services are divided as public cloud, private cloud, and hybrid cloud hosting solutions for delivering IaaS, SaaS, and PaaS as few of the cloud service models. These can be leveraged as development platforms or for hosting one’s own infrastructure or applications.

Cost considerations
Comparison of Content Delivery Network and cloud on the basis of cost efficiency can be done in order to find a more affordable option. Web hosting providers offer CDN hosting either as part of regular hosting plans or as a separate offering. It is also found that many hosting service providers offer free CDN services to their clients.

CDN solutions are therefore more economical than cloud computing. Cloud services can also prove to be cost efficient, thanks to utility style billing methods adopted by many providers. Clients are required to pay only for the services that are actually consumed by them.

Reliability of a hosting platform is measured in terms of uptime guarantee and scalability of server resources. In contrast, the overall performance of a CDN solution relies on the origin server. Reputed hosting service providers offer highly dependable cloud hosting platforms and therefore cloud hosting services can be considered to be more reliable than CDN services.

While considering CDN or Cloud services, one must analyze individual needs to choose the right alternative. While a cloud service can provide a large array of hosting services, the features of CDN hosting are comparatively restricted.

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Cloud Computing for Disaster Recovery

Relevance of Cloud Computing for Disaster Recovery

Every organization that operates online business such as ecommerce or any other business that depends on internet must have a clear understanding about impact of an unexpected outage.

Understanding the impact of downtime

There is a general opinion that unplanned downtime is most commonly caused due to natural disasters. However as confirmed by a study, that took into account feedback from 400 IT professionals, more than half of organizations have suffered from downtime impact lasting for more than eight hours which could be attributed to power outages and hardware or system failure.

Downtime can play havoc with organization’s operational efficiency and digital assets. It is common for enterprises to face annual downtime that can last for more than ten to twenty hours. Irrespective of the size of an organization, downtime can be a costly proposition. However, the effect of downtime can be avoidable if one is ready to face the curse of nature or sudden equipment failure.

Virtualized and cloud based disaster recovery

Virtualization guarantees availability of dynamically scalable resources. This can obviate need to maintain and operate additional data replication facilities at other locations. Running a parallel site to physically maintain replicated data to avert impact of downtime at primary location leads to double costs of operations.

Cloud based DR option minimizes these costs while offering assurance of instant failover capability, thanks to virtualization of data replication.

Importance of cloud based disaster recovery

If the events of unplanned outages are going to be unavoidable, then the best defense would be to make sure that the organization is prepared with a robust disaster recovery plan. Disaster recovery solutions offer the most practical and affordable approach to deal with severe impact of any unexpected downtime.

Since failure of mission critical applications can lead to operational irregularities and business loss, disaster recovery should be an inseparable part of organization’s IT strategy.

Common or traditional Disaster Recovery solutions follow the course of data replication. This can involve highly resource intensive process of replicating an entire infrastructure along with data to a remote location to serve as a backup site during downtime events at primary facilities.

Physical Disaster Recovery facilities involve huge costs of maintaining and operating the additional infrastructure. On the other hand, a virtualized infrastructure provided by cloud service providers can reduce hardware and other costs that are associated with physical DR solutions.

Cloud based DR resource can remain idle during ‘peacetime’ and would instantly scale up to meet the challenges of downtime that are about to impact business continuity at primary site.

Cloud based disaster recovery services are more popularly known as Disaster Recovery as a Service or DRaaS. Since these solutions do not need addition of any physical hardware to a primary site, users are not expected to maintain or manage any additional resources. It is possible to use DRaaS as a managed solution as you will not be required to upgrade or update the same.

On-demand provisioning

Time is an extremely vital factor during downtime. DRaaS solutions facilitate operation of your infrastructure in a cloud environment as soon as an unplanned outage strikes the facility. This allows the business to run seamlessly without any interruption of business continuity.

The backup facility of DRaaS is always prepared to support your business critical applications no sooner than an issue is about cause any outage. Users can look forward to a seamless transition of their facilities to cloud environment without impacting website availability.
Total time required for recovery from an outage can be minimized to reduce expenses of using a DRaaS resource. Once the primary site is ready to operate again, the applications are transferred back to the original site from DR environment with a negligible amount of downtime.

DRaaS and cost efficiency

One can expect significant cost savings by adopting a DRaaS capability instead of a physical DR infrastructure. In order to provide a reliable disaster recovery capability to your primary site, a Cloud based DR solution is only required during actual time of outage and will essentially remain un-operational during the rest of the period.

Thanks to the utility style billing method of cloud computing, your organization will be required to pay only for the period of activity, thereby considerably mitigating DRaaS associated costs.

Security considerations of DRaaS

Securing mission critical workloads from hazards of unplanned outages involve extreme care and concern. Thanks to the recent advances in security measures, cloud based DRaaS services ensure addition of multiple security layers and extensive data encryption facilities while the data is being moved to and from the cloud environments. Encryption of replicated data assures seamless protection and guarantees peace of mind to users.

State of the art data encryption, automated backups and other cost efficient security measures ensure that the users are able to save costs and ensure protection of mission critical workloads during unexpected outages.

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Simplifying the Seemingly Difficult Task of Establishing Security in Public Cloud

Security related concerns continue to act as barriers for cloud adoption by Fortune 500 organizations. The major apprehensions that are related to security in cloud computing are hijacking of account information, breach of data integrity, and data theft among others.

Need to change perception of security in public cloud

These concerns are further reinforced with data breaches that have recently hit some of the important organizations such as JPMorgan, Home Depot, and Target, just to name a few.

There are many more instances that have been adding to fear of data loss in public cloud environments. In fact, large organizations are inherently skeptical about integrity of data any environment other than their own on-site data centers that facilitate robust physical control and have established a strong bond of trust.

However, with the advent of security solutions that are based on software technology, there is a considerable shift in overall perception of security as far as storage of business critical data is concerned.

Public cloud enables implementation of impregnable security measures for protection of data. Extensive adoption of software solutions has slowly and steadily resulted in shifting of security related paradigm, which was focused on physical security provided by on-premise data centers.

Organizations that are focused on IT and security must get accustomed to the fact that they will not be able to sustain direct control over cloud’s physical infrastructure. It is prudent to leave the task of worrying about security of their apps and other digital assets in cloud environment.

The contemporary status of data is influenced by extensive distribution among millions of visitors via broad array of cloud service models including IaaS, SaaS, and PaaS in addition to private, hybrid, and public cloud. The challenges to data security can be attributed to shifting of data from traditionally secure on-premise infrastructures that characterize physical boundaries to highly extensive cloud environment that is marked by logical boundaries.

Significance of data-driven cloud controls

Implementation of robust security controls for data center layers is on topmost agenda of Cloud Service Providers. There has been a remarkable progress in logical integration of software with visibility tools, host based security mechanisms, logging solutions, and security controls for commonly deployed networks.

Notwithstanding these best practices, a vital security gap continues to be a matter of concern for cloud service providers. Data oriented security controls continue to dodge experts who are focusing on protecting the data no matter where it resides. Security measures in cloud must act independent of the underlying cloud infrastructure and should adopt a data oriented approach.

Security policies for cloud computing environment need to be designed for enabling customers with direct control and the security measures should be independent of data location. Considering the exponentially growing volume, there is hardly any point in banking on perimeters and network boundaries.

It is therefore not surprising that a large number of enterprise customers are looking forward to mitigation of security risk by compartmentalization of the attack surface so that even the memory of a Virtual Machine that runs on a hypervisor is seamlessly protected.

Sharing security burden

The complexity of security in a cloud computing environment is compounded further due to e presence of a shared responsibility model of cloud providers. The model expects cloud users to look after the security of their applications, operating systems, VMs, and the workloads that are associated with these.

Cloud service provider’s responsibility in a shared security model is only restricted to securing physical infrastructure and not beyond the level of hypervisor.

Establishing new best practices

This kind of a shared security model can create havoc with mission critical data of the organization and force the company out f business in matter of hours as was witnessed during the recent Code Spaces attack.

There is an ever growing need to establish security measures that are focused on data to free up enterprises from carrying the burden of securing apps, data, and workloads that are running in a shared security environment.

The situation demands for development of new best practices to design a data-centric security model, which can provide capabilities as mentioned ahead.

Cloud customers should be able to operate independent of Cloud Service Providers by enabling an isolated layer of virtualization that has ability to separate data as well as applications from other tenants and the Cloud Service Provider as well.

The new boundary of trust must be associated with encryption in order to ensure that the data is consistently accompanied by controls and security policies. This also obviates the need for customers to adhere to security measures designed by Cloud Service Provider.

Performance of application must not be hampered while tightening of security measures is being executed. This calls for the need to use advanced cryptographic segmentation and a high end key management system that offers exceptional security. Similarly, security measures should never become a hindrance in deployment of applications.


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